A risk evaluation method to prioritize failure modes based on failure data and a combination of fuzzy sets theory and grey theory

Wang, Hao; Zhang, Yimin; Yang, Zhou

doi:10.1016/j.engappai.2019.03.023

Cited by 27 publications

(11 citation statements)

References 24 publications

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“…Xue et al [54] prioritized naval traffic security influencing factors using grey and fuzzy theories. Wang, Zhang, and Yang [55] prioritized failure modes by combining fuzzy sets theory and grey theory.…”

Section: Grey Theory and Digraph-matrix Methodsmentioning

confidence: 99%

Strategies to Manage the Impacts of the COVID-19 Pandemic in the Supply Chain: Implications for Improving Economic and Social Sustainability

et al. 2020

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This paper aims to identify the negative impacts of the COVID-19 outbreak on supply chains and propose strategies to deal with the impacts in the context of the readymade garment (RMG) industry supply chain of an emerging economy: Bangladesh. To achieve the aims, a methodological framework is proposed through a literature review, expert inputs, and a decision-aid tool, namely the grey-based digraph-matrix method. A total of 10 types of negative impacts and 22 strategic measures to tackle the impacts were identified based on the literature review and expert inputs. Then, the grey-based digraph-matrix was applied for modeling the strategic measures based on their influence to deal with the impacts. Findings reveal that the strategies “manufacturing flexibility”, “diversify the source of supply”, and “develop backup suppliers” have significant positive consequences for managing the impacts of the COVID-19 pandemic in the RMG supply chain. The findings help industrial managers recover from supply chain disruptions by identifying and classifying the impacts and strategies required to manage the major supply chain disturbances caused by the COVID-19 pandemic. As a theoretical contribution, this study is one of few initial attempts to evaluate the impacts of the COVID-19 outbreak and the strategies to deal with the impacts in the supply chain context.

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Section: Grey Theory and Digraph-matrix Methodsmentioning

confidence: 99%

Strategies to Manage the Impacts of the COVID-19 Pandemic in the Supply Chain: Implications for Improving Economic and Social Sustainability

et al. 2020

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“…As a multi-criteria decisionmaking method, the traditional analytic hierarchy process is easy to be disturbed by subjective factors and limited to the inherent scheme, so it is unable to divide the weight of some nonquantifiable data. Grey fuzzy theory is the combination of fuzzy theory and grey system theory, which means to reveal the change trend, mutual relationship, and other mechanisms within the fuzzy phenomenon system by mathematical methods and grasp the relationship between various influencing factors by correlation coefficient and correlation degree, so as to provide a quantitative basis for the main factors of development and change of things [18]. According to the different characteristics of related phenomena, the names of their statistical indicators are different.…”

Section: Gfahp Based On Fuzzy Eory and Grey Model Algorithmmentioning

confidence: 99%

Research on Performance Management Evaluation of Public Sports Venues Based on GFAHP

et al. 2022

Mathematical Problems in Engineering

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The importance of public stadiums has become increasingly prominent, but the efficiency of its performance management operation mechanism is low, which affects the overall operation efficiency of the whole stadium. However, due to the diversity and incompleteness of its data types, the traditional analytic hierarchy process is difficult to construct its index system. This article introduces the grey fuzzy analytic hierarchy process. Based on the analysis of its performance management problems, this article constructs the index system and makes an application case analysis. The results show that the GFAHP method (group fuzzy analytic hierarchy process) can ensure the integrity of information data. In data classification, the highest accuracy of sample classification is 40.13%, and the relative error rate is basically less than 6%. The performance effect is much higher than other classification algorithms. At the same time, the total score of the evaluation index system constructed by GFAHP is more than 3, the overall operation is good, and the risk evaluation effect of each influencing index factor is also good. Using the grey analytic hierarchy process to evaluate the operation and performance management of public stadiums and gymnasiums will help managers do a good job in risk control and quality dynamic adjustment, so as to improve the operation efficiency and benefit of stadiums and gymnasiums.

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“…Moreover, the different dimensions and orders of magnitude among decision indexes have a large impact on the evaluation and optimal selection of the beam design scheme. erefore, in order to facilitate the gray relation analysis, all decision indexes of the beam design scheme are normalized [19].…”

Section: Construction Of Decision Matrixmentioning

confidence: 99%

Gray Relation Analysis for Optimal Selection of Bridge Reinforcement Scheme Based on Fuzzy-AHP Weights

Tan

Zhang

Wang

et al. 2021

Mathematical Problems in Engineering

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In order to solve the problem on optimal selection of old bridge reinforcement schemes, a decision-making method of gray relation analysis based on fuzzy-AHP weights is proposed. Firstly, the fuzzy-AHP is used to develop the decision index system of old bridge reinforcement schemes and determine the weight of decision indexes. The 0.1–0.9 scale method is introduced as the index judgment criterion, and the weight judgment matrix is established. Through the consistency test, the relative weight vector of each decision index in the index layer is calculated. Secondly, according to the gray relation model of the old bridge reinforcement schemes, the decision matrix is constructed, and the gray relation coefficient matrix is calculated to obtain the gray relation coefficient corresponding to the ideal optimal scheme. Finally, the optimal scheme is determined. Through an engineering example, the reinforcement scheme of a concrete-filled steel tube arch bridge deck system is calculated and analyzed, and the best reinforcement scheme is selected. The optimal selection result is consistent with the actual reinforcement scheme available for the bridge. The decision-making method of gray relation analysis based on fuzzy-AHP weights make the evaluation system more organized and systematic and the index weight more operable and quantitative, reduce the subjective evaluation impact, and make the evaluation result more objective and reliable. Considering the fuzzy and gray information of comparison and selection, the optimal scheme with high feasibility and applicability is selected by the gray relation method.

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A risk evaluation method to prioritize failure modes based on failure data and a combination of fuzzy sets theory and grey theory

Cited by 27 publications

References 24 publications

Strategies to Manage the Impacts of the COVID-19 Pandemic in the Supply Chain: Implications for Improving Economic and Social Sustainability

Strategies to Manage the Impacts of the COVID-19 Pandemic in the Supply Chain: Implications for Improving Economic and Social Sustainability

Research on Performance Management Evaluation of Public Sports Venues Based on GFAHP

Gray Relation Analysis for Optimal Selection of Bridge Reinforcement Scheme Based on Fuzzy-AHP Weights

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